A Review Paper on Content based Video Retrieval |
Author(s): |
| Hetaxi Kamli , B.V.M ENGINEERING COLLEGE; Mahasweta Joshi, B.V.M ENGINEERING COLLEGE; U.K.Jaliya, B.V.M ENGINEERING COLLEGE |
Keywords: |
| CBVR, Feature Extraction, SBD, Key-Frame, Video Indexing, Video Annotation |
Abstract |
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Nowadays visual information is gaining much more importance than textual information as pictures convey more than words. As image has richer content than text, Video database is increasing exponentially over the Internet. Content-based Video retrieval (CBVR) from large video storage has become a challenging and important issue for researchers over worldwide. There is lack of tools so it is difficult to distinguish between low and high level feature. There has been lot of CBVR systems developed but still there is a lack of efficient retrieval system, as many retrieval techniques are not suitable for extensive search and so it deteriorates the overall performance of system. In this paper we have given an outline of the sequential steps of existing CBVR systems. |
Other Details |
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Paper ID: IJSRDV3I90658 Published in: Volume : 3, Issue : 9 Publication Date: 01/12/2015 Page(s): 959-961 |
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